{"id":"W6983343375","doi":"","title":"Medical Discourse in Professional, Academic and Popular Settings. Pilar Ordóñez-López, Nuria Edo-Marzá (eds). Bristol/Buffalo/Toronto: Multilingual Matters, 2016. 224 pages. ISBN: 978-1-7830-9625-1.","year":2018,"lang":"es","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Sociopolitical Dynamics in Nepal","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Discourse analysis; Public discourse; Perspective (graphical); Focus (optics); Critical discourse analysis; Meaning (existential); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003265325,0.0007915818,0.001037352,0.0003048282,0.001288923,0.0003206365,0.001740858,0.0026279,0.001454733],"category_scores_gemma":[0.002052335,0.0008636487,0.0002929582,0.0007203729,0.007267374,0.001191844,0.0009308704,0.002621849,0.0002139149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00130185,"about_ca_system_score_gemma":0.001928588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932733,"about_ca_topic_score_gemma":0.006032761,"domain_scores_codex":[0.9910929,0.002316844,0.0008535003,0.001447519,0.002152243,0.002136946],"domain_scores_gemma":[0.9955686,0.001608677,0.0005068343,0.0006861282,0.0001929265,0.001436843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001205332,0.002145735,0.2008594,0.0007921489,0.0006512179,0.003015986,0.1247339,0.000005901349,0.001118038,0.2751767,0.3493018,0.04099385],"study_design_scores_gemma":[0.01165649,0.000805916,0.1987336,0.004557648,0.0008597637,0.0001359985,0.1250192,0.007900399,0.0001288763,0.02207711,0.6237909,0.004334092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945859,0.005790722,0.00005634673,0.03045676,0.004775374,0.00105955,0.0003017491,0.0002588834,0.01144164],"genre_scores_gemma":[0.9806358,0.007606765,0.0007442827,0.003381307,0.003415859,0.00002431892,0.0001099632,0.0001385015,0.003943225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2744891,"threshold_uncertainty_score":0.9996791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009538854115624607,"score_gpt":0.3390590404524128,"score_spread":0.3295201863367881,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}